Arctera AI Converge for Governed AI Workflows

Arctera AI Converge provides a secure gateway between supported AI tools and data in the Arctera Unified Platform. It applies enterprise identity, permissions, policy, and traceability to the information AI can access—while keeping data in place, logging interactions, and preserving links to source records.
Arctera AI Converge
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What is Arctera AI Converge?

Arctera AI Converge is a governed access layer that connects supported AI applications to enterprise data in the Arctera Unified Platform. It extends Arctera’s information governance foundation into AI data governance by applying identity, permissions, archive controls, classification context, and traceability to the information AI can access.

Using the Model Context Protocol (MCP) as the connection standard, Arctera AI Converge turns natural-language questions from an approved AI application into search and retrieval requests within the archive. Enterprise data stays in place, results remain linked to source records, and interactions are logged. This supports a bring-your-own-AI approach, allowing teams to work in familiar AI environments while Arctera maintains governance over the enterprise information those tools can access.

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Bring Your AI to Governed Enterprise Data

Organizations are adopting both general-purpose AI tools and specialized applications for legal, compliance, risk, and other enterprise work. A bring-your-own-AI approach gives teams the flexibility to use the environments best suited to each task, but it also creates a governance challenge: every tool needs a controlled way to access trusted enterprise information. Arctera AI Converge provides that connection.

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The Multi-AI Landscape

Teams leverage a mix of general-purpose AI tools and specialized applications for legal, compliance, and risk workflows, demanding maximum task-specific flexibility.

The Integration Bridge

Arctera AI Converge uses a standards-based MCP interface to seamlessly link supported applications like ChatGPT and Claude to the Arctera Unified Platform.

Absolute Governance

Identity, permissions, archive controls, source context, and traceability stay locked under strict enterprise oversight for every interaction.

Future-Proof Scalability

Extend governed data access to emerging AI choices without needing to build a separate integration and governance model for every new tool.

Read the Solution Brief
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DEMO

How AI Meets Enterprise Data with Arctera AI Converge

See how AI Converge connects AI-assisted workflows to governed enterprise archive data while preserving permissions, source context, and traceability.

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How AI Converge Works at a High Level

Arctera AI Converge connects supported AI applications to governed enterprise data in the Arctera Unified Platform. It authenticates users, applies existing access controls, executes read-only retrieval within the archive, and returns source-linked results with logged interactions.

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Step 1: Connect a Supported AI Application
Connect a supported AI application or workflow to AI Converge through a standards-based MCP interface. This gives enterprise teams a consistent integration point for accessing approved archive capabilities without treating the archive as an open data source.
Step 2: Authenticate users and Enforce Access Controls
Before a request reaches enterprise data, Arctera AI Converge authenticates the user and applies the permissions, access scope, and approved operations associated with that identity. Existing enterprise policies remain in force.
Step 3: Execute Requests within Archive Controls
Arctera AI Converge translates natural-language requests into structured search and retrieval operations executed within the Arctera Unified Platform. Data remains in place and access is read-only.
Step 4: Return Traceable, source-linked results
Results return to the AI workflow with references to the underlying records, preserving a path from answer to source.
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How Arctera AI Converge Extends the Arctera Unified Platform

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Capture

Bring supported AI interactions and enterprise communications into governance workflows.

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Classify

Apply consistent policy, metadata, and intelligence to governed information that supports AI-assisted work.

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Archive

Preserve governed enterprise information with retention, auditability, and defensible lifecycle controls.

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Supervise

Help teams identify and review conduct risk across communications and AI-assisted activity.

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Discover

Support investigation and discovery workflows by connecting questions, context, and source records.

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Where Arctera AI Converge Supports Governed AI Workflows

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Govern Access to Enterprise Data

Control how supported AI applications access enterprise information in the Arctera Unified Platform. Apply identity, permissions, and existing governance controls to determine what information is available and under what conditions.

AI Application Integration

Connect supported general-purpose and domain-specific AI applications to approved archive capabilities through a standards-based MCP interface. Give teams flexibility in the AI environments they use while maintaining enterprise control over data access, context, and traceability.

Investigations and Review

Ask natural-language questions to locate relevant archive records and source-linked context. Move more efficiently into investigation, eDiscovery, legal review, and related workflows.

Compliance and Risk Analysis

Find governed records and supporting context for analysis and review. Keep results connected to source information so teams can evaluate findings through established governance processes.
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Explore the Governed Gateway Architecture Behind Arctera AI Converge

The Arctera AI Converge Solution Brief explains the architectural shift behind governed AI-data interaction, including how AI workflows can connect to enterprise archive data while maintaining control, context, and traceability. Use the brief to explore the topic in more depth after reviewing the product overview.
Read the Solution Brief
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Frequently Asked Questions

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How can AI Applications Securely Access Enterprise Data?
Organizations can connect supported AI applications to governed enterprise information through Arctera AI Converge. Identity, permissions, archive controls, and existing information-governance policies help determine what information can be accessed and under what conditions. This gives teams a controlled way to use enterprise context in AI-assisted workflows without treating the archive as an unrestricted data source.
How can Organizations use AI Without Moving Sensitive Enterprise Data?
Arctera AI Converge enables supported AI applications to search and retrieve governed information through the Arctera Unified Platform Archive. Requests are executed against information already under management, reducing the need to export, duplicate, or reconstruct sensitive records in separate AI environments. Existing permissions, retention policies, and governance controls continue to apply to the underlying information.
Can Organizations bring their own AI tools or LLMs to Enterprise Data?
Arctera AI Converge supports a bring-your-own-AI approach by connecting supported AI applications to governed enterprise data through MCP. Teams can work in familiar AI environments while Arctera applies identity, permissions, archive controls, and traceability to data access. Current examples include general-purpose AI environments such as ChatGPT and Claude. Availability for other general-purpose or domain-specific AI applications depends on supported and validated integrations.
How does MCP connect AI Applications to Enterprise Data?
Model Context Protocol, or MCP, provides a standards-based way for AI applications to interact with external data and tools. Arctera AI Converge uses MCP as enabling infrastructure to connect supported AI applications with approved capabilities in the Arctera Unified Platform Archive. Arctera adds the identity, permissions, governance controls, and traceability required for enterprise use.
How is Arctera AI Converge different from a Vendor-specific AI plugin?
A vendor-specific plugin connects enterprise data to a particular AI provider using that provider’s integration model. Arctera AI Converge is designed as an enterprise-controlled access layer between supported AI applications and governed information in the Arctera Unified Platform Archive. It uses MCP as standards-based infrastructure while keeping identity, permissions, approved operations, archive controls, source traceability, and interaction logging under organizational control.
How can AI-generated answers be traced to Enterprise Records?
Arctera AI Converge returns results with references to the underlying source records, preserving a path between an AI-assisted answer and the enterprise information used to support it. Queries and interactions can also be logged, helping organizations understand what information was accessed and providing context for oversight, investigation, and defensibility.
How can AI support Investigations and eDiscovery?
AI-assisted workflows can help teams ask natural-language questions, locate relevant communications and records, and gather source-linked context earlier in an investigation. Arctera AI Converge provides governed access to enterprise information in the Archive so teams can move from initial exploration into established investigation, review, legal hold, and eDiscovery processes.
How does Arctera AI Converge support AI governance?
Arctera AI Converge extends Arctera’s information-governance foundation into AI-assisted workflows by helping control what enterprise information AI can access and under what conditions. Along with the broader Arctera Unified Platform, it contributes the information, communications, traceability, auditability, and evidence organizations need to oversee AI use. It complements rather than replaces model development, validation, bias testing, performance monitoring, and model-risk management.
How does Arctera AI Converge support a BYOM/BYOLLM strategy?
A bring-your-own-LLM, or BYOLLM, strategy gives organizations greater flexibility in the models and AI applications used across enterprise workflows. Arctera AI Converge supports this direction by providing a consistent, governed connection between supported AI environments and enterprise information in the Arctera Unified Platform Archive. It does not mean that every model or application is automatically supported; integrations remain subject to product availability and validation.
How is Arctera AI Converge different from AI Communications Capture?
Arctera AI Converge provides a governed path for supported AI applications to access enterprise information in the Archive. AI communications capture preserves supported prompts, responses, files, and conversation context as governed records. The capabilities address different parts of the AI information lifecycle and should not imply that every Arctera AI Converge request is automatically captured as a connected AI conversation.
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See how Arctera AI Converge can Support Governed AI Workflows

Explore how your organization can connect AI-assisted work with governed enterprise data, source records, and platform controls.

Request a Demo

Read the Datasheet

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